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1. Introduction
[Bow99], and the phase controlled microwave heating method was
applied in [BPJD99]. According to the results shown in the three
papers, although relatively homogeneous EM field distributions can
be created using above methods, the resulting temperature distribu-
tions were not as uniform as expected, and local hot spots still ex-
isted.
The other category relies on mechanical approaches that can improve
the temperature homogeneity directly. For instance, the method in
[WRK+12] used the real experimental results to adjust the position of
a susceptor, in order to achieve a specified heating at particular areas.
Anotherexampleisthehybridsystemusedin[KHYM13]thatconsists
of both the microwave and hot air heatings, to get a enhanced surface
heatingandreducethetemperaturegradientbetweenthesurfaceand
core of the product. These approaches are intuitive and effective. But
on the other hand, they are either too difficult or not efficient enough
tobeextendedtomoregeneral cases.
Despite numerous approaches were applied, no systematical solution
has been established to solve the problem of the temperature non-
uniformity in microwave heating. So far it still remains as one of the
mostchallengingproblemsinmicrowaveheating.
1.3. Objectiveandcontent
In this dissertation, a novel adaptive temperature control concept
for microwave heating is proposed, which combines the distributed
microwave feeding system with advanced multiple-input multiple-
output (MIMO) control methods. The idea of distributed microwave
feeding systems was presented and proved to be effective in [Feh09].
Based on this theory, HEPHAISTOS, which is short for high elec-
tromagnetic power heated automated injected structure oven system
[Feh09], was designed. HEPHAISTOS has more than one microwave
feedingsourcesandaveryuniquehexagonalstructuredcavityshape,
resulting in a rather homogeneous EM field distribution in the whole
cavity scale [Feh09]. More important, the EM field distribution in
HEPHAISTOS can be changed during the heating process, by adjust-
ing the power of individual heating sources, to achieve better tem-
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book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Title
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Author
- Yiming Sun
- Publisher
- KIT Scientific Publishing
- Location
- Karlsruhe
- Date
- 2016
- Language
- English
- License
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Size
- 14.8 x 21.0 cm
- Pages
- 260
- Keywords
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik